Classification is the process of predicting the class of given data points. Classes are sometimes called as targets/ labels or categories.

Cancer patients carry elevated risk of new-onset coronary heart disease (CHD), but accurate risk stratification remains limited. We aimed to develop a multimodal deep learning model for predicting new ...

Meghan Hegarty-Craver is a biomedical research engineer specializing in signal processing for wearable sensors, extracting heart rate and heart rate variability metrics from electrocardiogram (ECG) ...

This project aims to develop an affordable, battery-powered, machine learning-based portable device to detect Atrial Fibrillation (AFib) using Photoplethysmography (PPG). AFib, a common cardiac ...

If you are searching for a way to be able to explore the intricate signals that your body emits, like the electrical activity of your brain, muscles, and heart. Now, with the PiEEG, a new Raspberry Pi ...

Spiking neural networks (SNNs) aim to realize brain-inspired intelligence on neuromorphic chips with high energy efficiency by introducing neural dynamics and spike properties. As the emerging spiking ...

Persistent homology (PH) is a robust method to compute multi-dimensional geometric and topological features of a dataset. Because these features are often stable under certain perturbations of the ...

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